| """ |
| Enterprise Knowledge Assistant - Cross-Encoder Reranking |
| """ |
|
|
| def retrieve_with_reranking(query, domain, embedding_model, domain_indices, domain_chunks_map, |
| index, all_chunks, reranker, retrieve_hybrid_fn, |
| initial_k=15, final_k=5, domain_fallback_threshold=0.95): |
| |
| initial_results = retrieve_hybrid_fn(query, domain, embedding_model, domain_indices, domain_chunks_map, |
| index, all_chunks, top_k=initial_k, domain_fallback_threshold=domain_fallback_threshold) |
| |
| pairs = [[query, chunk['text']] for dist, chunk in initial_results] |
| rerank_scores = reranker.predict(pairs) |
| |
| scored_results = list(zip(rerank_scores, [chunk for dist, chunk in initial_results])) |
| scored_results.sort(key=lambda x: x[0], reverse=True) |
| |
| return scored_results[:final_k] |
|
|
